You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@arrow.apache.org by "Antoine Pitrou (Jira)" <ji...@apache.org> on 2022/04/20 12:09:00 UTC
[jira] [Created] (ARROW-16254) [Python] Scalar constructors should be callable
Antoine Pitrou created ARROW-16254:
--------------------------------------
Summary: [Python] Scalar constructors should be callable
Key: ARROW-16254
URL: https://issues.apache.org/jira/browse/ARROW-16254
Project: Apache Arrow
Issue Type: Improvement
Components: Python
Reporter: Antoine Pitrou
Fix For: 9.0.0
Currently, to create a Scalar instance you must call the {{pa.scalar}} factory function. This works fine for the simplest types, but not for more elaborate ones.
For example, in C++ it is trivial to create a {{ListScalar}} from the embedded {{std::shared_ptr<Array>}}. But not in Python:
{code:python}
>>> arr = pa.array(["abc", "def", "ghi"])
>>> pa.ListScalar(arr)
Traceback (most recent call last):
Input In [7] in <cell line: 1>
pa.ListScalar(arr)
TypeError: __init__() takes exactly 0 positional arguments (1 given)
{code}
There is a clumsy workaround that creates an intermediate {{ListArray}} with trivial offsets:
{code:python}
>>> list_arr = pa.ListArray.from_arrays([0, len(arr)], arr)
>>> list_arr[0]
<pyarrow.ListScalar: ['abc', 'def', 'ghi']>
{code}
--
This message was sent by Atlassian Jira
(v8.20.7#820007)